Evidence map›Paper›PMID 40313472›Full record

SynthesisFrontiers in artificial intelligence2025

Metaverse technology tree: a holistic view.

Sepehr Ghazinoory, Fatemeh Parvin, Fatemeh Saghafi, Masoud Afshari-Mofrad, Nafiseh Ghazavi, Mehdi Fatemi

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in artificial intelligence, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Sepehr GhazinooryDepartment of Information Technology Management, Tarbiat Modares University, Tehran, Iran.
Fatemeh ParvinDepartment of Information Technology Management, Tarbiat Modares University, Tehran, Iran.
Fatemeh SaghafiDepartment of Systems Management and Decision Sciences, College of Management, University of Tehran, Tehran, Iran.
Masoud Afshari-MofradResearch School of Management, Australian National University, Canberra, ACT, Australia.
Nafiseh GhazaviDepartment of Industrial Engineering, Tarbiat Modares University, Tehran, Iran.
Mehdi FatemiDepartment of Systems Management and Decision Sciences, College of Management, University of Tehran, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The Metaverse has emerged as a significant trend in recent years, offering solutions across diverse fields. Despite substantial investments and extensive research efforts, a comprehensive understanding of the Metaverse environment and its full potential remains elusive. This article seeks to address this gap by developing a technology tree for the Metaverse based on published standards, prior studies, and frameworks proposed by leading firms. Methods: To construct the Metaverse technology tree, a systematic literature review approach was employed. From an initial pool of 354 scientific papers, conference proceedings, book chapters, and reports, a rigorous screening process -focused on titles, abstracts, and full-texts -resulted in a selection of 81 final sources. These sources were synthesized using a meta-analysis methodology. Results: The meta-synthesis of the selected literature produced a comprehensive Metaverse technology tree encompassing seven key branches: artificial intelligence, Mirror World, extended reality, network infrastructure, lifelogging, blockchain, and the Internet of Things. Each branch represents a critical technological area necessary for the development and realization of the Metaverse. Discussion: The proposed Metaverse technology tree offers a holistic overview and roadmap of the technological domains underlying the Metaverse. By identifying these seven branches, this research provides valuable guidance for future studies and development trajectories in Metaverse technologies.

Indexed as

meta-synthesisMetaverseMetaverse technologiesroadmaptechnology tree

Identifiers

PMID40313472
PMCPMC12043874

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.